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Live from ICC 2025 in Sacramento, we sit down with Andrew Hines, Senior Manager of Digital Operations at Autosol. With decades of experience in edge networks and SCADA data collection, Andrew shares how Autosol is helping operators simplify architectures, bridge legacy systems, and enable AI/ML at the edge.
In this episode:
• Autosol’s role in SCADA polling, OPC UA, MQTT & edge compute
• Why Ignition + Autosol is a natural fit for modern architectures
• Helping operators migrate from legacy poll/response to edge-driven data
• Data simplification: one device, one poll, many consumers
• Utilities, oil & gas, and water infrastructure use cases
• Digital expectations across generations (Boomer ↔ Gen Z)
• Edge Compute as the “plate” analogy (multiple workloads, one box)
• Data center & off-grid power challenges: water, cooling, governance
• Autosol’s flexibility, openness, and customer-driven feature development
• The future of Autosol: enabling AI, machine learning, and MCP with more granular, efficient data
📍 Learn more: https://autosoln.com/
📍 Inductive Automation Ignition: https://inductiveautomation.com/
📍 OpSite Energy: https://opsiteenergy.com/
Chapters
00:14 Guest Intro – Andrew Hines (Autosol) joins live from ICC 2025
00:43 What Autosol does + Andrew’s role (Digital Ops & Edge)
01:50 Autosol + Ignition partnership explained
02:50 Where Autosol fits in edge & server-based architectures
04:00 Polling vs Edge-driven: supporting AI/ML at scale
05:02 Industry shift: simplification, consolidation & hybrid networks
06:29 Autosol’s strategy: legacy customers → edge-ready architectures
08:30 Customer-driven development: flexibility & nimbleness
09:05 Beyond oil & gas: utilities, water, power infrastructure
11:00 Digital expectations & generational workforce gaps
12:40 Collaboration, not just software: solving problems with clients
14:20 Convergence of data centers, water, and off-grid power
15:50 The energy cost of AI: why efficient data pipelines matter
17:30 Granular reporting & governance (water/power usage compliance)
18:00 Mid-sized operators: how Autosol engages new customers
20:05 Edge Compute analogy: plate, knife, fork & the entrée
22:00 Flexibility of EACM & multi-application edge boxes
23:01 The future of Autosol: openness, AI, and machine learning
24:16 Wrap-up & next steps 
Uygar Duzgun / “Fast Life” / courtesy of www.epidemicsound.com
 By Opsite Energy
By Opsite EnergyLive from ICC 2025 in Sacramento, we sit down with Andrew Hines, Senior Manager of Digital Operations at Autosol. With decades of experience in edge networks and SCADA data collection, Andrew shares how Autosol is helping operators simplify architectures, bridge legacy systems, and enable AI/ML at the edge.
In this episode:
• Autosol’s role in SCADA polling, OPC UA, MQTT & edge compute
• Why Ignition + Autosol is a natural fit for modern architectures
• Helping operators migrate from legacy poll/response to edge-driven data
• Data simplification: one device, one poll, many consumers
• Utilities, oil & gas, and water infrastructure use cases
• Digital expectations across generations (Boomer ↔ Gen Z)
• Edge Compute as the “plate” analogy (multiple workloads, one box)
• Data center & off-grid power challenges: water, cooling, governance
• Autosol’s flexibility, openness, and customer-driven feature development
• The future of Autosol: enabling AI, machine learning, and MCP with more granular, efficient data
📍 Learn more: https://autosoln.com/
📍 Inductive Automation Ignition: https://inductiveautomation.com/
📍 OpSite Energy: https://opsiteenergy.com/
Chapters
00:14 Guest Intro – Andrew Hines (Autosol) joins live from ICC 2025
00:43 What Autosol does + Andrew’s role (Digital Ops & Edge)
01:50 Autosol + Ignition partnership explained
02:50 Where Autosol fits in edge & server-based architectures
04:00 Polling vs Edge-driven: supporting AI/ML at scale
05:02 Industry shift: simplification, consolidation & hybrid networks
06:29 Autosol’s strategy: legacy customers → edge-ready architectures
08:30 Customer-driven development: flexibility & nimbleness
09:05 Beyond oil & gas: utilities, water, power infrastructure
11:00 Digital expectations & generational workforce gaps
12:40 Collaboration, not just software: solving problems with clients
14:20 Convergence of data centers, water, and off-grid power
15:50 The energy cost of AI: why efficient data pipelines matter
17:30 Granular reporting & governance (water/power usage compliance)
18:00 Mid-sized operators: how Autosol engages new customers
20:05 Edge Compute analogy: plate, knife, fork & the entrée
22:00 Flexibility of EACM & multi-application edge boxes
23:01 The future of Autosol: openness, AI, and machine learning
24:16 Wrap-up & next steps 
Uygar Duzgun / “Fast Life” / courtesy of www.epidemicsound.com